Literature DB >> 20509983

The crash involvement of older drivers is associated with their hazard perception latencies.

Mark S Horswill1, Kaarin J Anstey, Christopher G Hatherly, Joanne M Wood.   

Abstract

Hazard perception in driving is the one of the few driving-specific skills associated with crash involvement. However, this relationship has only been examined in studies where the majority of individuals were younger than 65. We present the first data revealing an association between hazard perception and self-reported crash involvement in drivers aged 65 and over. In a sample of 271 drivers, we found that individuals whose mean response time to traffic hazards was slower than 6.68 s [the receiver operating characteristic (ROC) curve derived pass mark for the test] were 2.32 times [95% confidence interval (CI), 1.46, 3.22) more likely to have been involved in a self-reported crash within the previous 5 years than those with faster response times. This likelihood ratio became 2.37 (95% CI, 1.49, 3.28) when driving exposure was controlled for. As a comparison, individuals who failed a test of useful field of view were 2.70 (95% CI, 1.44, 4.44) times more likely to crash than those who passed. The hazard perception test and the useful field of view measure accounted for separate variance in crash involvement. These findings indicate that hazard perception testing and training could be potentially useful for road safety interventions for this age group.

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Year:  2010        PMID: 20509983     DOI: 10.1017/S135561771000055X

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  9 in total

1.  Older drivers and rapid deceleration events: Salisbury Eye Evaluation Driving Study.

Authors:  Lisa Keay; Beatriz Munoz; Donald D Duncan; Daniel Hahn; Kevin Baldwin; Kathleen A Turano; Cynthia A Munro; Karen Bandeen-Roche; Sheila K West
Journal:  Accid Anal Prev       Date:  2012-06-27

2.  Executive Function Brain Network Activation Predicts Driving Hazard Detection in ADHD.

Authors:  Haley M Bednarz; Despina Stavrinos; Austin M Svancara; Gabriela M Sherrod; Benjamin McManus; Hrishikesh D Deshpande; Rajesh K Kana
Journal:  Brain Topogr       Date:  2021-10-29       Impact factor: 3.020

3.  Effect of glaucoma on eye movement patterns and laboratory-based hazard detection ability.

Authors:  Samantha Sze-Yee Lee; Alex A Black; Joanne M Wood
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

4.  Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia.

Authors:  Kaarin J Anstey; Ranmalee Eramudugolla; Md Hamidul Huque; Mark Horswill; Kim Kiely; Alex Black; Joanne Wood
Journal:  JAMA Netw Open       Date:  2020-06-01

5.  Hazard Perception in Older Drivers With Eye Disease.

Authors:  Joanne M Wood; Alex A Black; Kaarin J Anstey; Mark S Horswill
Journal:  Transl Vis Sci Technol       Date:  2021-01-22       Impact factor: 3.283

6.  Association between Crash Attributes and Drivers' Crash Involvement: A Study Based on Police-Reported Crash Data.

Authors:  Guofa Li; Weijian Lai; Xingda Qu
Journal:  Int J Environ Res Public Health       Date:  2020-12-03       Impact factor: 3.390

7.  Improvements of Warning Signs for Black Ice Based on Driving Simulator Experiments.

Authors:  Ghangshin Lee; Sooncheon Hwang; Dongmin Lee
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

8.  Concept Mapping to Identify Content for a Performance-Based Measure of Low Luminance Vision-Related Activities of Daily Living.

Authors:  Sharon A Bentley; Alex A Black; Gregory P Hindmarsh; Cynthia Owsley; Joanne M Wood
Journal:  Transl Vis Sci Technol       Date:  2022-09-01       Impact factor: 3.048

9.  Falls risk and simulated driving performance in older adults.

Authors:  John G Gaspar; Mark B Neider; Arthur F Kramer
Journal:  J Aging Res       Date:  2013-02-21
  9 in total

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